pom.xml配置依賴

<!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
<dependency>
     <groupId>com.alibaba</groupId>
     <artifactId>druid</artifactId>
     <version>1.1.6</version>
</dependency> 

資源文件配置信息

不管是yml文件還是properties文件，都使用以下配置

# 數據庫訪問配置
spring.datasource.type: com.alibaba.druid.pool.DruidDataSource
spring.datasource.url: jdbc:mysql://10.170.1.16:3306/cispapi?useUnicode=true
 
&characterEncoding=utf-8
spring.datasource.username: root
spring.datasource.password: Sinoway123
spring.datasource.driverClassName: com.mysql.jdbc.Driver
# 下面為連接池的補充設置，應用到上面所有數據源中
# 初始化大小，最小，最大
spring.datasource.initialSize: 5
spring.datasource.minIdle: 5
spring.datasource.maxActive: 20
# 配置獲取連接等待超時的時間
spring.datasource.maxWait: 60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閑連接，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis: 60000
# 配置一個連接在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis: 300000
spring.datasource.validationQuery: SELECT 1 FROM DUAL
spring.datasource.testWhileIdle: true
spring.datasource.testOnBorrow: false
spring.datasource.testOnReturn: false
# 打開PSCache，並且指定每個連接上PSCache的大小 
spring.datasource.poolPreparedStatements: true
spring.datasource.maxPoolPreparedStatementPerConnectionSize: 20
# 配置監控統計攔截的filters，去掉後監控界面sql無法統計，‘wall‘用於防火墻
spring.datasource.filters: stat,wall,log4j
spring.datasource.logSlowSql: true
# 通過connectProperties屬性來打開mergeSql功能；慢SQL記錄
spring.datasource.connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
 

數據源配置類

import java.sql.SQLException;

import javax.sql.DataSource;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
 
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;

@Configuration
public class DruidDBConfig {
    private Logger logger = LoggerFactory.getLogger(DruidDBConfig.class);

    @Value("${spring.datasource.url}")
    private String dbUrl;

    @Value("${spring.datasource.username}")
    private String username;

    @Value("${spring.datasource.password}")
    private String password;

    @Value("${spring.datasource.driverClassName}")
    private String driverClassName;

    @Value("${spring.datasource.initialSize}")
    private int initialSize;

    @Value("${spring.datasource.minIdle}")
    private int minIdle;

    @Value("${spring.datasource.maxActive}")
    private int maxActive;

    @Value("${spring.datasource.maxWait}")
    private int maxWait;

    @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
    private int timeBetweenEvictionRunsMillis;

    @Value("${spring.datasource.minEvictableIdleTimeMillis}")
    private int minEvictableIdleTimeMillis;

    @Value("${spring.datasource.validationQuery}")
    private String validationQuery;

    @Value("${spring.datasource.testWhileIdle}")
    private boolean testWhileIdle;

    @Value("${spring.datasource.testOnBorrow}")
    private boolean testOnBorrow;

    @Value("${spring.datasource.testOnReturn}")
    private boolean testOnReturn;

    @Value("${spring.datasource.poolPreparedStatements}")
    private boolean poolPreparedStatements;

    @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
    private int maxPoolPreparedStatementPerConnectionSize;

    @Value("${spring.datasource.filters}")
    private String filters;

    @Value("{spring.datasource.connectionProperties}")
    private String connectionProperties;

    @Value("${spring.datasource.logSlowSql}")
    private String logSlowSql;

    // 配置監控統計功能
    // 訪問路徑 http://127.0.0.1:8081/CISP/druid/login.html
    // 1.配置Servlet
    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean reg = new ServletRegistrationBean();
        reg.setServlet(new StatViewServlet());
        reg.addUrlMappings("/druid/*");
        reg.addInitParameter("loginUsername", username);// 用戶名也可以自己設置，及直接寫死
        reg.addInitParameter("loginPassword", password);// 密碼也可以自己設置，及直接寫死
        reg.addInitParameter("logSlowSql", logSlowSql);// 慢SQL記錄
        reg.addInitParameter("allow", "101.6.244.30");// IP白名單 (沒有配置或者為空，則允許所有訪問，若配置多個則用逗號隔開)
        reg.addInitParameter("resetEnable", "false");// 禁用HTML頁面上的“Reset All”功能
        return reg;
    }

    // 2.配置Filter
    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();
        filterRegistrationBean.setFilter(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");// 忽略資源
        filterRegistrationBean.addInitParameter("profileEnable", "true");
        return filterRegistrationBean;
    }

    @Bean // 聲明其為Bean實例
    @Primary // 在同樣的DataSource中，首先使用被標註的DataSource
    public DataSource dataSource() {
        DruidDataSource datasource = new DruidDataSource();

        datasource.setUrl(this.dbUrl);
        datasource.setUsername(username);
        datasource.setPassword(password);
        datasource.setDriverClassName(driverClassName);

        // configuration
        datasource.setInitialSize(initialSize);
        datasource.setMinIdle(minIdle);
        datasource.setMaxActive(maxActive);
        datasource.setMaxWait(maxWait);
        datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
        datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
        datasource.setValidationQuery(validationQuery);
        datasource.setTestWhileIdle(testWhileIdle);
        datasource.setTestOnBorrow(testOnBorrow);
        datasource.setTestOnReturn(testOnReturn);
        datasource.setPoolPreparedStatements(poolPreparedStatements);
        datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
        try {
            datasource.setFilters(filters);
        } catch (SQLException e) {
            logger.error("druid configuration initialization filter", e);
        }
        datasource.setConnectionProperties(connectionProperties);

        return datasource;
    }
}

然後啟動項目，訪問：

http://IP:port/CISP/druid/login.html

輸入你設置的用戶名和密碼

點擊sign in

在項目中進行一次數據庫查詢之後，

在這裏你就可以查看配置的連接池，以及數據庫相關信息

常見問題，也可以訪問

https://github.com/alibaba/druid/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98

Springboot項目配置druid數據庫連接池,並監控統計功能